Intra-day rolling scheduling method for integrated heat and electricity system
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Solution Overview
Problem
The integrated heat and electricity system faces challenges in intra-day rolling scheduling due to the complexity introduced by coupling components like combined heat and power units, heat pumps, and circulating pumps, which require comprehensive operation and control to minimize operating costs and ensure safe, steady-state operation.
Innovation Solution
An intra-day rolling scheduling method is established, including an objective function to minimize operating costs, with constraints for safe operation, solved using an interior point method to determine active and heating powers for each unit, thereby obtaining an optimal scheduling scheme for the integrated heat and electricity system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If coupling components (combined heat and power units, heat pumps, circulating pumps) are integrated into the system, then energy efficiency and system benefits are improved, but control complexity increases
Solution Approach 1:
The scheduling problem is segmented into multiple time periods (divided into T time periods) and solved using a rolling optimization approach. This breaks down the complex intra-day scheduling into manageable time segments, reducing control complexity while maintaining energy efficiency benefits from coupling components
Solution Approach 2:
The system implements dynamic rolling optimization that continuously updates scheduling decisions based on real-time system state and changing conditions. This dynamic approach adapts to the complex interactions of coupling components without requiring static, overly simplified control strategies
2Power
If comprehensive scheduling considering all coupling components is implemented, then operating costs are reduced, but calculation complexity and solution difficulty increase
Solution Approach 1:
The comprehensive scheduling problem is divided into T time periods with rolling optimization, transforming a single complex optimization problem into multiple smaller, sequential problems. This segmentation reduces calculation complexity while still achieving comprehensive cost reduction by considering all coupling components in each time segment
Solution Approach 2:
The system changes scheduling parameters dynamically through rolling optimization, adjusting power output and operational parameters of coupling components based on real-time conditions. This allows comprehensive cost optimization without being constrained by fixed, complex calculation frameworks
Data Source
AI summary
An intra-day rolling scheduling method for an integrated heat and electricity system including: establishing an objective function for scheduling of the integrated heat and electricity system, the objective function aiming to make operating costs of the integrated heat and electricity system to be a minimum; establishing constraints for a steady-state safe operation of the integrated heat and electricity system; and solving the objective function based on the constraints by an interior point method, to obtain an active power and a heating power of each combined heat and power unit, an active power of each thermal power unit, a heating power of each heat pump, and an active power consumed by each circulating pump.